Distribution and trajectory of vital signs from high-frequency continuous monitoring during pediatric critical care transport

Abstract

ObjectiveTo describe comprehensively the distribution and progression of high-frequency continuous vital signs monitoring data for children during critical care transport and explore associations with patient age, diagnosis, and severity of illness.DesignRetrospective cohort study using prospectively collected vital signs monitoring data linked to patient demographic and transport data.SettingA regional pediatric critical care transport team based in London, England.PatientsCritically ill children (age ≤ 18 years) transported by the Children’s Acute Transport Service (CATS) at Great Ormond Street Hospital (GOSH) between January 2016 and May 2021 with available high-frequency vital signs monitoring data.InterventionsNone.Main resultsNumeric values of heart rate (HR), blood pressure (BP), respiratory rate (RR), oxygen saturations (SpO2), and end-tidal carbon dioxide in ventilated children (etCO2) were extracted at a frequency of one value per second totalling over 40 million data points. Age-varying vital signs (HR, BP, and RR) were standardized using Z scores. The distribution of vital signs measured in the first 10 min of monitoring during transport, and their progression through the transport, were analyzed by age group, diagnosis group and severity of illness group. A complete dataset comprising linked vital signs, patient and transport data was extracted from 1711 patients (27.7% of all transported patients). The study cohort consisted predominantly of infants (median age of 6 months, IQR 0–51), and respiratory illness (36.0%) was the most frequent diagnosis group. Most patients were invasively ventilated (70.7%). The Infection group had the highest average (+ 2.5) and range (− 5 to + 9) of HR Z scores, particularly in septic children. Infants and pre-school children demonstrated a greater reduction in the HR Z score from the beginning to the end of transport compared to older children.ConclusionsMarked differences in the distribution and progression of vital signs between age groups, diagnosis groups, and severity of illness groups were observed by analyzing the high-frequency data collected during paediatric critical care transport.